摘要
基于相关性分析,提出了一种适合于交流电力智能传感器的有功功率测试方法,并将其与传统参数定义法进行了分析、比较,指出在不增加任何额外硬件开销和计算量的情况下相关性分析法能有效抑制采集信号中干扰的影响,从而简化系统、降低成本、提高实时性等测试性能。实验表明,相对于参数定义法,相关性分析法可减少约70%用于分析的采样点数,干扰幅值的要求从信号幅值的3%可放宽到信号幅值的12%左右。
For AC power smart sensor,the active power test method based on correlation analysis is proposed.It is analyzed and compared with traditional parameterized-definition test approach.The results indicate that the correlation analysis method can effectively reduce the impact of interference in the power signal on test precision,and the system simplification,cost reduction and improvement of test performance such as real-time are resulted in the absence of any additional overhead in hardware and computing time.Experiments results show that compared to the traditional parameterized-definition test means,the correlation-based method can reduce the number of the sample data for power analysis by about 70% and the noise amplitude can be permitted from 3% to about 12% of signal amplitude.
出处
《西华大学学报（自然科学版）》
CAS
2010年第4期5-7,38,共4页
Journal of Xihua University:Natural Science Edition
基金
四川省教育厅科研基金资助项目(08ZC010)
